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Scheduling in Distributed Computing Environment Using Dynamic Load Balancing

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Parallel and Distributed Processing Techniques and Applications

Allocation, Scheduling, Energy-Aware Computing + Load-Balancing + Fault-Tolerant Systems Parallel and Distributed Algorithms and Applications;

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Parallel and Distributed Processing Techniques and Applications

Allocation, Scheduling, Energy-Aware Computing + Load-Balancing + Fault-Tolerant Systems Parallel and Distributed Algorithms and Applications;

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Scheduling and Load Balancing in Parallel and Distributed Systems

utilization. This book focuses on the future directions of the static scheduling and dynamic load balancing methods in parallel and;

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Euro Par 2015 Parallel Processing

, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and;

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Euro-Par 2020: Parallel Processing

support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance;

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Euro-Par 2021: Parallel Processing

compilers, tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; data management;

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Euro-Par 2016: Parallel Processing

This book constitutes the refereed proceedings of the 22nd International Conference on Parallel and Distributed Computing, Euro-Par 2016;

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Communications and Networking

and Scheduling Optimization in Edge Computing; Mobile Edge Network System; Communication Routing and Control; Transmission and Load Balancing;

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Adaptive Resource Management and Scheduling for Cloud Computing

Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC;

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Euro-Par 2019: Parallel Processing: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26-30, 2019, Proce

. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling;

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Euro-Par 2017: Parallel Processing

and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and;

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Using Swarm Intelligence for Distributed Job Scheduling on the Grid

computations. This research proposes two new distributed swarm intelligence inspired load balancing algorithms. One is based on ant colony optimization;

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Algorithms and Architectures for Parallel Processing

load balancing, high-performance scientific computing, parallel algorithms, parallel architectures, scalable and distributed databases;

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Parallel Algorithms

Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment;

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Parallel Algorithms

Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment;

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Distributed and Parallel Computing

profit, lower costs of design and production by using parallel and distributed processing on clusters. In general to achieve these goals;

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Network and Parallel Computing

following topical sections; memory: non-volatile, solid state drives, hybrid systems; resilience and reliability; scheduling and load-balancing;

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Horizons in Computer Science Research

using predictors; database management in risk analysis for nuclear reactors; simulating load balancing in a distributed service architecture;

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Horizons in Computer Science Research

using predictors; database management in risk analysis for nuclear reactors; simulating load balancing in a distributed service architecture;

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Cloud Computing and Virtualization

perfectly by using load balancing algorithm over the virtual machines. This book tries to find out the insights to balance the load based on;

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Physical Layer Multi-Core Prototyping

data rates beyond hundreds of Mbits/s by using advanced technologies, necessitating a highly complex LTE physical layer. The operating power;

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ABC Algorithm used for Load Balancing Purpose in Cloud Computing

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Learn Microservices with Spring Boot

, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per;

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Learn Microservices with Spring Boot

, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per;

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Application Servers for E-Business

The modern application server is a complex platform that is the linchpin of an enterprise environment that includes a very wide range;

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Internet and Distributed Computing Systems

This book constitutes the proceedings of the 9th International Conference on Internet and Distributed Computing Systems, IDCS 2016, held;

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